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  • Parallel Computing

Parallel Computing Courses

Parallel computing courses can help you learn about distributed systems, concurrency, and performance optimization techniques. You can build skills in task scheduling, load balancing, and debugging parallel applications. Many courses introduce tools like MPI (Message Passing Interface) and OpenMP, that support implementing parallel algorithms and enhancing computational efficiency.


Popular Parallel Computing Courses and Certifications


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    The Hong Kong University of Science and Technology

    Developing Android Apps with App Inventor

    Skills you'll gain: Android Development, User Interface (UI), Mobile Development, Application Development, No-Code Development, Data Storage, Game Design, Program Development, Geographic Information Systems, Global Positioning Systems, Computer Programming

    4.4
    Rating, 4.4 out of 5 stars
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    499 reviews

    Beginner · Course · 1 - 3 Months

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    Technical University of Denmark (DTU)

    Introduction to Industrial Bioprocess Development

    Skills you'll gain: Biotechnology, Process Engineering, Chemical and Biomedical Engineering, Chemical Engineering, Sterilization, Biological Engineering, Microbiology, Process Control, Cell Cultures, Production Process, Biochemistry, Scalability, Manufacturing Processes, Process Development, Molecular Biology, Cell Biology, Sterile Procedure

    4.7
    Rating, 4.7 out of 5 stars
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    327 reviews

    Beginner · Course · 1 - 3 Months

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    University of Washington

    Data Science at Scale

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Databases, Statistical Machine Learning, Model Evaluation, Predictive Analytics, R Programming, Data Analysis, SQL, Predictive Modeling, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    922 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Duke University

    Applied Python Data Engineering

    Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Matplotlib, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
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    111 reviews

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Creating Azure Serverless Functions in a Real-World Scenario

    Skills you'll gain: Serverless Computing, Microsoft Azure, Microservices, NoSQL, Cloud Computing Architecture, Cloud Deployment, Front-End Web Development, Cloud Development, Hypertext Markup Language (HTML), Platform As A Service (PaaS), Software Development, Cloud Computing, Microsoft Visual Studio, DevOps

    4.6
    Rating, 4.6 out of 5 stars
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    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Meta

    The Full Stack

    Skills you'll gain: Full-Stack Web Development, Front-End Web Development, Django (Web Framework), Scalability, Responsive Web Design, Web Applications, Back-End Web Development, MySQL, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Cloud Computing, Application Programming Interface (API), Virtual Environment, Javascript, Database Management

    4.6
    Rating, 4.6 out of 5 stars
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    230 reviews

    Intermediate · Course · 1 - 3 Months

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    IBM

    ETL and Data Pipelines with Shell, Airflow and Kafka

    Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Data Mart, Unix Shell, Big Data, Performance Tuning, Scalability

    4.5
    Rating, 4.5 out of 5 stars
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    444 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    University of California, Irvine

    Blockchain

    Skills you'll gain: Blockchain, Cryptography, Encryption, FinTech, Data Sharing, Transaction Processing, Fraud detection, Distributed Computing, Payment Systems, Data Integrity, Emerging Technologies, Digital Assets, Authentications, Software Systems, Systems Architecture, Data Security, Computer Systems, Software Architecture, Network Security, Software Versioning

    4.2
    Rating, 4.2 out of 5 stars
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    231 reviews

    Beginner · Specialization · 3 - 6 Months

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    Google Cloud

    Building No-Code Apps with AppSheet

    Skills you'll gain: No-Code Development, Email Automation, Business Process Automation, Application Deployment, Automation, Business Process, Workflow Management, Google Workspace, Application Design, Application Development, Application Performance Management, User Interface and User Experience (UI/UX) Design, Data Integration, Authorization (Computing), Authentications, Cloud Applications, Google Sheets, Application Lifecycle Management, User Interface (UI), Data Management

    4.7
    Rating, 4.7 out of 5 stars
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    188 reviews

    Beginner · Specialization · 3 - 6 Months

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    DeepLearning.AI

    الذكاء الاصطناعي للجميع

    Skills you'll gain: Artificial Intelligence, AI Product Strategy, Artificial Neural Networks, Deep Learning, Business Analytics, Responsible AI, Data Ethics, Machine Learning, Digital Transformation, Data Science

    4.8
    Rating, 4.8 out of 5 stars
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    961 reviews

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation

    4.4
    Rating, 4.4 out of 5 stars
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    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Convolutional Neural Networks, Health Policy, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
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    607 reviews

    Beginner · Course · 1 - 3 Months

Searches related to parallel computing

parallel computing with mpi
introduction to high-performance and parallel computing
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1…747576…352

In summary, here are 10 of our most popular parallel computing courses

  • Developing Android Apps with App Inventor: The Hong Kong University of Science and Technology
  • Introduction to Industrial Bioprocess Development: Technical University of Denmark (DTU)
  • Data Science at Scale: University of Washington
  • Applied Python Data Engineering: Duke University
  • Creating Azure Serverless Functions in a Real-World Scenario: Coursera
  • The Full Stack: Meta
  • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
  • Blockchain: University of California, Irvine
  • Building No-Code Apps with AppSheet: Google Cloud
  • الذكاء الاصطناعي للجميع: DeepLearning.AI

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Google Cloud Platform (18)
Application Programming Interfaces (17)
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Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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